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Published By: IBM     Published Date: Oct 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data, analytics, big data, data integration, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
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ibm, ibm pure data system, big data, data analytics, analytics architecture, enterprise applications, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
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ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, enterprise applications, data management, business technology, data center
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
This e-book highlights the benefits of Hadoop across several industries and explores how IBM® Biglnsights for Apache™ Hadoop® combines open source Hadoop with enterprise-grade management and analytic capabilities.
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ibm, analytics, big data, hadoop, enterprise, ibm biginsights, apache, enterprise management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
This eBook takes you on a journey to outthink content chaos and discover how your industry can gain real value from your business content. Read how industry leaders are reflecting on the important challenges they face, and how they are finding innovative ways to collaborate and extract value from all forms of content to outpace those obstacles. Learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it, improving business performance and ROI.
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ibm, analytics, ecm, content, business content, enterprise content management, knowledge management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
IBM is a leader in the 21 criteria ranking by Forrester of 14 dynamic case management vendors . This report helps enterprises select the best providers to meet their needs through a detailed methodology. Contained in the report is information on what enables a vendor to excel as well as potential pitfalls. Learn about: - The criteria to rank vendors by Forrester - What vendors possess to enter the leader ranking Get the report to learn how IBM is a leader.
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ibm, forrester, forrester wave, dynamic case management, dcm, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Informative infographic featuring case management and data capture solutions to put the customer experience first.
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ibm, ecm, data analytics, analytics, big data, customer experience, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: IBM     Published Date: Nov 08, 2016
Read this paper to learn seven ways that the cloud and API's can be used to help businesses develop mobile apps.
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ibm, connect, middleware, api, cloud, app development, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 08, 2016
Read this report to learn more on the future of IoT.
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ibm, cloud, middleware, iot, data integration, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 08, 2016
Read this paper to learn 7 steps to getting your API Architecture right the first time.
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ibm, cloud, middleware, api, api architecture, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
Open Source application developer platforms aren't "free." Download the Total Economic Impact Of Migration From Open Source Application Servers to IBM WAS Liberty, a Forrester Consulting Total Economic Impact Study commissioned by IBM to learn how WAS Liberty can deliver 122% ROI, reduced infrastructure costs by $350K and improved developer productivity by 12% over open source alternatives.
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ibm, middleware, application infrastructure, open source application servers, ibm was liberty, cloud, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
This IDC Business Value Executive Brief leverages IDC's research into the value of cloud-based application development and integration solutions, including solutions such as IBM WebSphere Application Server (WAS) on cloud.
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ibm, middleware, cloud ibm, middleware, application infrastructure, open source application servers, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
In this solution brief, you'll learn how IBM Integration Bus enables you to: - Eliminate the need for point-to-point connectivity - Connect across an array of packaged applications and web services - Route and transform data in virtually any format so you can read, interpret and convert multiple data formats - Expose and extend back-end systems to mobile devices
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ibm, middleware, api economy, ibm integration bus, business agility, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
IBM API Connect is a comprehensive management solution that addresses all four aspects of the API lifecycle: create, run, manage and secure. This makes API Connect far more cost-effective than limited point solutions that focus on just a few lifecycle phases and can end up collectively costing more as organizations piece components together. Download this datasheet and find out how IBM API Connect can help your organization.
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ibm, api, api economy, integration, application program interface, cloud, middleware, digital transformation, ibm api connect, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
This webcast will help you understand how your business can benefit from the IBM MQ Appliance, and where it can fit into your business today.
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ibm, middleware, mq appliance, ibm mq appliance, hardware, knowledge management, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Nov 28, 2016
Explore The Forrester Wave™: API Management Solutions, Q4 2016 Your digital transformation is powered by the creation, running, and management of APIs. This year, IBM was named a leader in The Forrester Wave™: API Management Solutions, Q4 2016 The Forrester Wave™: API Management Solutions, Q4 2016. View the reprint of the report to see why Forrester recognized IBM and why we believe IBM is the best partner for you as you further your API management goals, and your digital transformation.
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ibm, middleware, api, api economy, api management solutions, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
The bottom line is that those that have the most customer insight will win because they know what customers want. So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system? In most cases, the answer to the above questions is no which inevitably means one thing. You need more data
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IBM
Published By: IBM     Published Date: Jan 27, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
Today, all consumers can obtain any piece of data at any point in time. This experience represents a significant cultural shift: the beginning of the democratization of data. However, the data landscape is increasing in complexity, with diverse data types from myriad sources residing in a mix of environments: on-premises, in the cloud or both. How can you avoid data chaos?
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IBM
Published By: IBM     Published Date: Jan 27, 2017
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
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